Delete an unreferenced trained model | Elasticsearch Serverless API documentation

Delete an unreferenced trained model Generally available

DELETE /_ml/trained_models/{model_id}

The request deletes a trained inference model that is not referenced by an ingest pipeline.

force boolean

Forcefully deletes a trained model that is referenced by ingest pipelines or has a started deployment.
timeout string

Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.

Values are -1 or 0.

200 application/json
Hide response attribute Show response attribute object
- acknowledged boolean Required
  
  For a successful response, this value is always true. On failure, an exception is returned instead.

DELETE /_ml/trained_models/{model_id}

DELETE _ml/trained_models/regression-job-one-1574775307356

resp = client.ml.delete_trained_model( model_id="regression-job-one-1574775307356", )

const response = await client.ml.deleteTrainedModel({ model_id: "regression-job-one-1574775307356", });

response = client.ml.delete_trained_model( model_id: "regression-job-one-1574775307356" )

$resp = $client->ml()->deleteTrainedModel([ "model_id" => "regression-job-one-1574775307356", ]);

curl -X DELETE -H "Authorization: ApiKey $ELASTIC_API_KEY" "$ELASTICSEARCH_URL/_ml/trained_models/regression-job-one-1574775307356"

Response examples (200)

A successful response when deleting an existing trained inference model.

{ "acknowledged": true }